CAD4TB has been developed by Delft Imaging Systems in cooperation with the Radboud University Nijmegen and the Lung Institute in Cape Town. The involvement of academic researchers from the beginning demonstrates the intention to deliver a high-quality and reliable product. The publications have been divided into categories: the validation of CAD4TB, the technical aspects, field research, CAD4TB as a triage tool, reviews, and publications of the World Health Organisation (WHO) where CAD4TB was mentioned. You can read and download the paper by clicking on the title.
Publications
- CAD4TB in chest X-rays using a combination of textural, focal, and shape abnormality analyis.
IEEE Transactions Medical Imaging – December 2015 - An automated method to detect, segment, and remove foreign objects from chest radiographs.
Medical Physics – July 2013 - Fusion of local and global detection systems to detect TB in chest radiographs.
MICCAI – 2010 - Rib suppression in chest radiographs to improve classification of textual abnormalities.
Medical Imaging -2010 - Segmentation of anatomical structures in chest radiographs
Elsevier – May 2005 - Suppression of translucent elongated structures
IEEE Transactions Medical Imaging – November 2013 - A method for automatic cavity segmentation in chest radiographs.
Medical Physics – July 2014 - Automatic detection of pleural effusion in chest radiographs.
Elsevier – September 2015 - Improved texture analysis for automatic detection of TB with bone suppression images.
Radboud University - Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs.
Radboud University - Evaluating CAD4TB version 6: comparing the software results to the GeneXpert results & analyse the cost effectiveness.
Radboud University- March 2019 - Tuberculosis detection: CAD4TB VS clinical officers.
The International Journal of Tuberculosis and Lung Disease – July 2013 - A validation study of CAD4TB in Sub-Saharan Africa.
PLOSONE – September 2014 - Reviewing the diagnostic accuracy of CAD4TB on digital chest X-rays.
The International Journal of Tuberculosis and Lung Disease– May 2016 - Evaluating digital data from a TB prevalence survey in The Gambia.
- Advances in tuberculosis diagnostics.
Springer International- April 2015 - Using CAD4TB as a triage for GeneXpert testing: evaluating the diagnostic accuracy and costs.
Nature Scientific – July 2015 - Combining CAD4TB and clinical information as a promising TB detection tool in South-Africa.
Nature Scientific – April 2016 - Computer-Assisted Chest Radiography Reading for Tuberculosis Screening in People Living with Diabetes Mellitus.
The International Journal of Tuberculosis and Lung Disease – April 2018 - Accuracy of an Automated System for Tuberculosis Detection on Chest Radiographs in High-risk Screening.
The International Journal of Tuberculosis and Lung Disease – December 2017 - Automatic Versus Human Reading of Chest X-rays in the Zambia National Tuberculosis Prevalence Survey.
The International Journal of Tuberculosis and Lung Disease – April 2017 - An Automated Tuberculosis Screening Strategy Combining X-ray Based Computer-Aided Detection and Clinical Information.
Nature Scientific Reports – June 2015 - Evaluation of the Diagnostic Accuracy of Computer-Aided Detection of Tuberculosis on Chest Radiography Among Private Sector Patients in Pakistan.
Nature Scientific Reports – July 2018 - Screening for Pulmonary Tuberculosis in a Tanzanian Prison and Computer-Aided Interpretation of Chest X-rays.
Public Health Action – October 2015 - Automated Chest-radiography as a Triage for Xpert Testing in Resource-Constrained Settings: a Prospective Study of Diagnostic Accuracy and Costs.
Nature Scientific Reports – June 2015 - Computerized Reading of Chest Radiographs in The Gambia National Tuberculosis Prevalence Survey: Retrospective Comparison with Human Experts.
Proceeding from Union World Conference on Lung Health – 2015 - Objective Computerized Chest Radiography Screening to Detect Tuberculosis in the Philippines.
Proceeding from Union World Conference on Lung Health – 2015 - Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa.
PLOS|ONE – August 2014 - The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia.
PLOS|ONE – March 2014 - Detection of Chest X-ray abnormalities and tuberculosis using computer-aided detection vs interpretation by radiologists and a clinical officer.
Proceeding from Union World Conference on Lung Health – 2014
- Global Investments in Tuberculosis Research and Development – Past, Present, and Future.
Journal/Publication – November 2017 - WHO Compendium of Innovative Health Technologies for Low-Resource Settings.
World Health Organization, Compendium of Innovative Technologies – 2014 - Fast and Effective Quantification of Symmetry in Medical Images for Pathology Detection: Application to Chest Radiography.
Medical Physics – January 2017 - Automatic Detection of Pleural Effusion in Chest Radiographs.
Medical Image Analysis – September 2016 - On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis.
IEEE Transactions on Medical Imaging – December 2015 - Localized energy-based normalization of medical images: application to chest radiography.
IEEE Transactions on Medical Imaging – March 2015 - Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis.
IEEE Transactions of Tuberculosis Imaging – February 2015 - A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays.
IEEE Transactions of Tuberculosis Imaging – March 2014 - Cavity Contour Segmentation in Chest Radiographs Using Supervised Learning and Dynamic Programming.
Medical Physics – April 2014 - Multiple-instance learning for computer-aided detection of tuberculosis.
Medical Imaging – March 2014 - Suppression of Translucent Elongated Structures: Applications in Chest Radiography.
IEEE Transactions on Medical Imaging – July 2013 - Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis.
IEEE Transactions on Medical Imaging – August 2002 - Computer-Aided Detection of Pulmonary Tuberculosis on Digital Chest Radiographs: a Systematic Review.
The International Journal of Tuberculosis and Lung Disease – September 2016 - Foreign Object Detection and Removal to Improve Automated Analysis of Chest Radiographs.
Medical Physics – April 2013 - Automated Localization of Costophrenic Recesses and Costophrenic Angle Measurement on Frontal Chest Radiographs.
Proceeding from SPIE Medical Imaging – March 2013 - Improved Texture Analysis for Automatic Detection of Tuberculosis (TB) on Chest Radiographs with Bone Suppression Images.
Proceeding from SPIE Medical Imaging – March 2013 - Clavicle segmentation in chest radiographs.
Medical Image Analysis – July 2012 - Fusion of local and global detection systems to detect tuberculosis in chest radiographs.
Medical Image Computing and Computer-Assisted Intervention - Rib Suppression in Chest Radiographs to Improve Classification of Textural Abnormalities.
Proceeding from SPIE Medical Imaging – February 2010 - Dissimilarity-based Classification in the Absence of Local Ground Truth: Application to the Diagnostic Interpretation of Chest Radiographs.
Pattern Recognition – January 2009 - Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography.
Medical Physics – November 2007 - Segmentation of Anatomical Structures in Chest Radiographs Using Supervised Methods: a Comparative Study on a Public Database.
Medical Image Analysis – February 2005 - Computer Aided Detection of Tuberculosis on Chest Radiographs: An Evaluation of the CAD4TB v6 System.
arXiv – March 2019 - Tuberculosis – Diagnostics Technology and Market Landscape.
UNITAID / World Health Organization – 2015 - Chest Radiography in Tuberculosis Detection – Summary of Current WHO Recommendations and Guidance on Programmatic Approaches.
World Health Organization – 2016 - An Evaluation of Automated Chest Radiography Reading Software for Tuberculosis Screening Among Public- and Private-sector Patients.
European Respiratory Journal – January 2017 - Detection of Tuberculosis Using Digital Chest Radiography: Automated Reading vs. Interpretation by Clinical Officers.
The International Journal of Tuberculosis and Lung Disease – January 2017 - Computer-Aided Reading of Tuberculosis Chest Radiography: Moving the Research Agenda Forward to Inform Policy.
European Respiratory Journal – May 2017 - Digital CXR with Computer-Aided Diagnosis Versus Symptom Screen to Define Presumptive Tuberculosis Among Hosueholds Contacts and Impact on Tuberculosis Diagnosis.
BMC Infectious Diseases – April 2017
Other
- WHO compendium of innovative health technologies for low-resource settings (CAD4TB on page 85)
- WHO global investments in tuberculosis research and developments (CAD4TB on page 30).
- Detecting TB in Zambia: determing the sensitivity and specifity of CAD4TB in comparison to GeneXpert testing.
- Detecting TB in Tanzania: to assess the use of CAD4TB in a prison population.
- Detecting TB in Zambia: comparing the performance of CAD4TB in chest X-ray reading to radiologists.
- Mobile Care for TB Screening and Diagnosis – a How-To Guide
USAID/ChallengeTB – 2018 - Digital Imaging Innovations for Early TB Case Detection
StopTB Partnership / CheckTB – November 2012 - StopTB Partnership Field Guide on Chest X-ray Screening.
StopTB Partnership Policy Paper – April 2019